"""
# Copyright 2024 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""

import tensorflow as tf

def generate_tf_model():
    a = tf.compat.v1.placeholder(tf.float32, shape=[2, 3], name='a')
    b = tf.compat.v1.placeholder(tf.float32, shape=[3, 2], name='b')
    matmul = tf.linalg.matmul(a, b, name="matmul")
    c = tf.compat.v1.placeholder(tf.float32, shape=[2, 2], name='c')
    add = tf.add(matmul, c, name="add")
    with tf.compat.v1.Session() as sess:
        tf.io.write_graph(tf.compat.v1.get_default_graph(), '.',  './matmul_add.pb', as_text=False)
        print('Create Model Successful.')

if __name__ == "__main__":
    generate_tf_model()